Performance Study Of Ocean Acoustic Tomography Methods In The Upper-Ocean Environment Using Autonomous Platforms
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Ollivier, Etienne
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Abstract
This master’s thesis explores several short-range ocean acoustic tomography (OAT) methods for highly dynamic sub-mesoscale environments. The addressed OAT problem focuses on the importance of the acoustic setup and environmental characteristics with respect to the sound speed variation predictions. A simulated time evolution dataset
of the ocean circulation in the DeSoto Canyon in the Gulf of Mexico is presented as a realistic environment to study reconstruction methods for highly dynamic scenarios. Numerical arrival time measurements with path diversity are generated using a range-dependent ray-based approach. Classical inverse estimators are presented, with practical parametrization, to provide reference performance levels over several scenarios showing different anomaly attributes. Iterated and adaptive algorithms are implemented using cumulative sampling of environmental and acoustic information to leverage poor initial knowledge of the ocean’s dynamic and partial coverage of the environment. Results are summarized and the practical implementation suitability is finally discussed.
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2023-05-03
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Thesis